Journal article
The Torgegram for Fluvial Variography: Characterizing Spatial Dependence on Stream Networks
Journal of computational and graphical statistics, Vol.26(2), pp.253-264
04/03/2017
DOI: 10.1080/10618600.2016.1247006
Abstract
We introduce a graphical diagnostic called the Torgegram for characterizing spatial dependence among observations of a variable on a stream network. The Torgegram consists of four component empirical semivariograms, each one corresponding to a particular combination of flow-connectedness within the network and model type (tail-up/tail-down). We show how an overall strategy for fluvial variography can be based on a careful examination of the Torgegram. An analysis of water temperature data from a stream network within the Columbia River basin of the northwest United States illustrates the diagnostic value of the Torgegram as well as its limitations. Additional uses and extensions of the Torgegram are discussed.
Details
- Title: Subtitle
- The Torgegram for Fluvial Variography: Characterizing Spatial Dependence on Stream Networks
- Creators
- Dale L. Zimmerman - University of IowaJay M. Ver Hoef - NOAA National Marine Fisheries Service Alaska Fisheries Science Center
- Resource Type
- Journal article
- Publication Details
- Journal of computational and graphical statistics, Vol.26(2), pp.253-264
- Publisher
- Taylor & Francis
- DOI
- 10.1080/10618600.2016.1247006
- ISSN
- 1061-8600
- eISSN
- 1537-2715
- Language
- English
- Date published
- 04/03/2017
- Academic Unit
- Statistics and Actuarial Science; Biostatistics
- Record Identifier
- 9984257625702771
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